On acquiring speech production knowledge from articulatory measurements for phoneme recognition
暂无分享,去创建一个
[1] I. Zlokarnik. Adding articulatory features to acoustic features for automatic speech recognition , 1995 .
[2] Alan Wrench,et al. Continuous speech recognition using articulatory data , 2000, INTERSPEECH.
[3] Roger K. Moore. A comparison of the data requirements of automatic speech recognition systems and human listeners , 2003, INTERSPEECH.
[4] Jeff A. Bilmes,et al. Hidden-articulator Markov models for speech recognition , 2003, Speech Commun..
[5] Matthew Brand,et al. Coupled hidden Markov models for modeling interacting processes , 1997 .
[6] Samy Bengio,et al. Automatic speech recognition using dynamic bayesian networks with both acoustic and articulatory variables , 2000, INTERSPEECH.
[7] Olov Engwall,et al. The acoustic to articulation mapping: non-linear or non-unique? , 2008, INTERSPEECH.
[8] Simon King,et al. Speech production knowledge in automatic speech recognition. , 2007, The Journal of the Acoustical Society of America.
[9] Jianwu Dang,et al. Integration of articulatory and spectrum features based on the hybrid HMM/BN modeling framework , 2006, Speech Commun..
[10] Jianwu Dang,et al. Hybrid HMM/BN ASR system integrating spectrum and articulatory features , 2003, INTERSPEECH.